Tabular Regression
Transformers
Safetensors
gpt2
MOE
GPT-2
tabular
generative
causalLM
text-generation-inference
Instructions to use sonicc/tabby-distilgpt2-diabetes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sonicc/tabby-distilgpt2-diabetes with Transformers:
# Load model directly from transformers import AutoTokenizer, MHTabbyGPT2 tokenizer = AutoTokenizer.from_pretrained("sonicc/tabby-distilgpt2-diabetes") model = MHTabbyGPT2.from_pretrained("sonicc/tabby-distilgpt2-diabetes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0433e35b71bf3f1f4d48379403bc0609b82693c6b91552a71f6babba2e0aae7
- Size of remote file:
- 1.72 GB
- SHA256:
- ae2851f9fa2ebf60cb6b85636dcf3cd4a416fd59c868f515ed041a48963473d1
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